# The collected network in numbers — The Steam Dossier

Canonical: https://phishdestroy.io/steam_dossier/output_steam_network/steam_ecosystem_dashboard.html
Language: en
Attribution: PhishDestroy Team
Reading edition: 18 October 2026.

STATISTICS OVERVIEW // FILE 02

 

## Steam Ecosystem Dashboard — The Network In Numbers

 

The network, in numbers.

 

WHAT THIS SECTION PROVES  

This dashboard aggregates structural intelligence across 3,320 developers and 252 repositories, identifying 68 gambling-specific codebases and cross-platform connection bridges. The empirical data highlights geographic clustering and developer overlaps showing that third-party skin gambling infrastructure operates as an organized, highly interconnected software industry integrated with Steam's platform.

  [← Back to Executive briefing](https://phishdestroy.io/steam_dossier/#briefing-heading)

 

Consolidated statistics of the investigation database: geographic distribution, top companies, skins gambling repositories, and active connection bridges.

 

Scanned Devs   3320

 

Total Repos   252

 

Gambling Repos   68

 

Total Connections   1,426

 

Structure and Sectors of Automation

 

### Sector I — Valve Corporation Core

 

Official repositories and systems software. Confirmed development space of Valve employees Nephyrin and Joe Ludwig.

 

### Sector II — Authorization Engines & Protocol Emulators (SteamKit)

 

Reverse-engineered network libraries co-authored by Valve's Nephyrin and skins gambling developer DoctorMcKay.

 

### Sector III — Card Farming Clients (ArchiSteamFarm)

 

Utilize SteamKit protocol emulators to run millions of fake clients (idling) in the background to farm trading cards.

 

## Recorded profile locations

3,320 profiles · 1,135 with a supplied location · 2,185 Unknown (65.8%). Snapshot date labelled by the original page: 17 September 2026.

Literal labels from  [country_summary.csv](https://phishdestroy.io/steam_dossier/output_steam_network/country_summary.csv) . Country names, cities and other self-entered values are retained without additional normalization.

Germany **57**

Poland **30**

USA **29**

France **28**

China **27**

CA **25**

UK **24**

WA **23**

United States **23**

Canada **23**

Russia **23**

United Kingdom **20**

**Original geographic summary 1 — retained for comparison**

The earlier summaries used different displayed values: Canada 48 / 25; United Kingdom 44 / 24. Their aggregation transformation is not recorded in the retained CSV. The main chart above is reproducible from the literal CSV labels; the earlier values remain here unchanged.

Developer Geography

 

Germany   57

 

United States   52

 

Canada   48

 

United Kingdom   44

 

Poland   30

 

France   28

 

Russian Federation   27

 

China   27

 

USA (Washington State)   23

 

Australia   19